Automated identification of high impact bug reports leveraging imbalanced learning strategies
In practice, some bugs have more impact than others and thus deserve more immediate attention. Due to tight schedule and limited human resource, developers may not have enough time to inspect all bugs. Thus, they often concentrate on bugs that are highly impactful. In the literature, high impact bug...
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Main Authors: | YANG, Xinli, David LO, HUANG, Qiao, XIA, Xin, SUN, Jianling |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2016
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Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/3567 https://ink.library.smu.edu.sg/context/sis_research/article/4568/viewcontent/AutomatedIDHighImpactBugReportsLimbalLearning_2016.pdf |
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Institution: | Singapore Management University |
Language: | English |
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